Personal Information
Organización/Lugar de trabajo
Bengaluru Area, India India
Ocupación
Lead Data Scientist at GE Digital | Machine Learning | IIM B | Kaggler | SAS Certified Statistical Analyst
Sector
Apparel / Fashion
Acerca de
Senior Data Scientist with 7 years of experience in delivering actionable business insights using statistical modelling, machine learning and big data. Has an excellent track record of managing and executing complex data science projects and consistently exceeding expectations. Enjoys seeing and discussing the bigger picture and the business impact as much as diving into details about all sorts of machine learning models.
Highly passionate about data science and is active in the academia through continued association with alma mater, IIM Bangalore. Keeps up to date regularly on the latest developments in the field of data science by taking up MOOCS/Certifications and competing in Kaggle ...
Etiquetas
machine learning
statistics
kmeans
unsupervised learning
segmentation
k-means
hierarchical clustering
dbscan
clustering
predictive modelling
data science
decision tree
bagging
ensembling
random forest
gradient boosting
Ver más
Presentaciones
(2)Recomendaciones
(5)Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
Hace 6 años
Beyond SQL: Speeding up Spark with DataFrames
Databricks
•
Hace 9 años
Decision Tree Ensembles - Bagging, Random Forest & Gradient Boosting Machines
Deepak George
•
Hace 8 años
2016 Spark Summit East Keynote: Matei Zaharia
Databricks
•
Hace 8 años
Introduction to Spark ML
Holden Karau
•
Hace 8 años
Personal Information
Organización/Lugar de trabajo
Bengaluru Area, India India
Ocupación
Lead Data Scientist at GE Digital | Machine Learning | IIM B | Kaggler | SAS Certified Statistical Analyst
Sector
Apparel / Fashion
Acerca de
Senior Data Scientist with 7 years of experience in delivering actionable business insights using statistical modelling, machine learning and big data. Has an excellent track record of managing and executing complex data science projects and consistently exceeding expectations. Enjoys seeing and discussing the bigger picture and the business impact as much as diving into details about all sorts of machine learning models.
Highly passionate about data science and is active in the academia through continued association with alma mater, IIM Bangalore. Keeps up to date regularly on the latest developments in the field of data science by taking up MOOCS/Certifications and competing in Kaggle ...
Etiquetas
machine learning
statistics
kmeans
unsupervised learning
segmentation
k-means
hierarchical clustering
dbscan
clustering
predictive modelling
data science
decision tree
bagging
ensembling
random forest
gradient boosting
Ver más